This paper introduces an expectation-maximization (EM) algorithm for image restoration (deconvolution) based on a penalized likelihood formulated in the wavelet domain. Regularization is achieved by promoting a reconstruction with low-complexity, expressed in the wavelet coefficients, taking advantage of the well known sparsity of wavelet representations. Previous works have investigated wavele...

This paper proposes Transform Domain Fusion Rule (TDFR) via high pass modulation using Local Magnitude Ratio (LMR) in Fast Discrete Contour let Transform (FDCT) domain. Contour let transform method uses low resolution multispectral image and Cartosat-1 Panchromatic (PAN) of spatial resolution 2.5m is used as high resolution panchromatic image. This both images are up sampled in order to resize ...

Transcranial Doppler ultrasound (US) can be used to detect emboli in the cerebral circulation. We have implemented and evaluated the first online wavelet-based automatic embolic signal-detection system, based on a fast discrete wavelet transform algorithm using the Daubechies 8th order wavelet. It was evaluated using a group of middle cerebral artery recordings from 10 carotid stenosis patients...

Standard fractal image compression techniques rely on using an IFS operator directly on the image function. However, sometimes it is more convenient to work on some transformed version of the image. For example, an MRI image is scanned in as frequency data. Thus, it is more natural to work on the Fourier Transform of the image rather than on the image itself. Furthermore, if your image quality ...

A wavelet approach to the analysis of nonuniform high-speed interconnects with frequency dependent parameters is presented in this paper. The nonuniform interconnects are modeled by the use of nonuniform multiconductor transmission line equations in the frequency domain. Two different methods are proposed here (differential and integral formulation): in both of them the space variable is expand...

In this paper, a pass-band optimal reconstruction technique is adapted to the Body-Centered Cubic (BCC) lattice. In order to perform the frequencydomain preprocessing, we derive a practical Discrete Fourier Transform (DFT) for BCC-sampled data. In the discrete frequency domain our DFT provides a natural isotropic periodicity on a FaceCentered Cubic (FCC) pattern, unlike the previous method, whi...

AA-LP Anti-aliasing lowpass AC3 Adaptive transform coder 3 ACR Absolute-category rating ADC Analog-to-digital converter ADPCM Adaptive differential pulse-code modulation AEC Acoustic echo cancellation / caneller AIR Acoustic impulse response ALP Adaptive lattice predictor ANC Active noise control or adaptive noise canceller AP Affine projection APC Adaptive predictive coding AR Auto-regressive ...

. In the power quality analysis non-stationary nature of voltage distortions require some precise and powerful analytical techniques. The time-frequency representation (TFR) provides a powerful method for identification of the non-stationary of the signals. This paper investigates a comparative study on two techniques for analysis and visualization of voltage distortions with time-varying ampli...

seismic waves travelling through inelastic media are attenuated by the conversion of elastic energy into heat. upon being attenuated, the travelling wave changes: amplitude is reduced, travelling waveform is modified due to high-frequency content absorption, and phase is delayed. attenuation is usually quantified through the quality factor q: the ratio between the energy stored and lost in each...

The Sparse Fast Fourier Transform is a recent algorithm developed by Hassanieh et al. at MIT for Discrete Fourier Transforms on signals with a sparse frequency domain. A reference implementation of the algorithm exists and proves that the Sparse Fast Fourier Transform can be faster than modern FFT libraries. However, the reference implementation does not take advantage of modern hardware featur...